I have a Matlab plot that contains relatively high amount of different data and hence if i use standard legend representation, i could not figure out which legend color belongs to which curve.
So, is there any way to put legends on each curve? Lets say "BUS7" text should be located on the purple curve (undermost one).
Thanks.
I am trying to do something like this:
The text(x, y, txt) function allows you to add text at a given location on the plot. link.
Looking at your example, it seems that you want to have all the labels on the left-hand side. So, one way to do it would be like this, where I have generated my own dummy data:
leg = {'First Curve', 'Second Curve', 'Third Curve'};
figure;
x = linspace(1,10,100);
for ii = 1:3
y = x + ii*10;
plot(x, y);
hold on
text(x(1), y(1)+2.5, leg{ii});
end
Regretfully, this does not do anything clever with where the label is placed - it is merely placed slightly above the first point of the curve. You can clearly easily move it along the curve, but if you have many curves, like in your case, the labels will likely overlap and you will need to tinker a bit to avoid this.
Related
I want to graph different ellipses at different heights (z-coordinates).
My idea was to write the following code:
z=0:1/64:3/8;
t=linspace(-pi,pi,25);
[t,z]=meshgrid(t,z);
x=cos(-t);
y=cos(-t-4*pi*z);
I would like MATLAB to read my code like:
"Find x and y, and plot at the corresponding height (z). By doing so, join the points such that you'll form an ellipse at constant z".
I'm not sure what kind of function I could use here to do this and was hoping for someone to tell me if there exists such a function that will do the job or something similar.
In case you're wondering, I want to graph the polarization of light given two counterpropagating beams.
EDIT: While this is similar to the question draw ellipse and ellipsoid in MATLAB, that question doesn't address plotting 2D ellipses in 3D axes, which is what I am trying to do.
This can be solved by removing the meshgrid, and just using a plain old for-loop.
t = linspace(-pi,pi,25);
z = 0:1/64:3/8
f = figure;
hold on;
for i = 1:length(z)
x=cos(-t); y=cos(-t-4*pi*z(i));
plot3(x,y,z(i)*ones(length(z),1));
end
The problem in the original code is that you're trying build the ellipses all at once, but each ellipse only depends on a single z value, not the entire array of z values.
When I run this code, it produces the following plot:
I am trying to make a simple plot (for this example doing a plot of y=x^2 will suffice) where I want to set the colors of the points based on their magnitude given some colormap.
Following along my simple example say I had:
x = 1:10;
y = x.^2;
Use gscatter(x,y,jet(10)); legend hide; colorbar which produces a plot with the points colored but the colorbar does not agree with the colored values. (Can't post picture as this is my first post). Using a caxis([1,100]) command gives the right range but the colors are still off.
So I have two questions:
(1) How can I fix the colors to fit to a colorbar given a range? In my real data, I am looking at values that range from -50 to 50 in some instances and have many more data points.
(2) I want to create a different plot with the same points (but on different axes) and I want the colors of each point on this new plot to have the same colors as their counterparts in the previous plot. How can I, programmatically, extract the color from each point so I can plot it on two different sets of axes?
I would just move the points into a matrix and do an imagesc() command but they aren't spaced as integers or equally so simple scaling wouldn't work either.
Thanks for any help!
Regarding you first question, you need to interpolate the y values into a linear index to the colormap. Something like:
x = 1:10;
y = x.^4;
csize = 128;
cmap = jet(csize);
ind = interp1(linspace(min(y),max(y),csize),1:csize,y,'nearest');
scatter(x,y,14,cmap(ind,:),'filled')
colorbar
caxis([min(y) max(y)])
Using interp1 in this case is an overkill; you could calculate it directly. However, I think in this way it is clearer.
I think it also answers your 2nd question, since you have the index of the color of each data point, so you can use it again in the same way.
I have a figure which consists of different levels of a contour plotted using the hold on function. I want to fill the space between the levels of contour with a color. Could you please assist me how can I do that. I have already tried the contourf function. The figure consists of different red colored levels of a contour, what I want is a solid color filled between these contour levels.
I am not sure if I got exactly what you wanted but here goes a possible solution to your problem.
If you plotted using the hold on function I would therefore assume you have each contour in a different variable. If so you can use logic to check whether a contour is higher or lower relatively to another. If your problem is that you do not have the same x axis for each so that you can use logic just interpolate for each contour (for example between -0.8 and 0.8)
I will give an example of what I am saying. See if this helps.
%simulated contours
x=linspace(0,pi,100);
y = sin(x);
y2 = sin(x)*2;
y3 = sin(x)*3;
figure, hold on,
plot(x,y),
plot(x,y2),
plot(x,y3),
%fill contours
[X,Y]=meshgrid(x,0:3/100:3);
zzz=(Y<repmat(y,size(Y,1),1))+(Y<repmat(y2,size(Y,1),1))+(Y<repmat(y3,size(Y,1),1));
figure,imagesc(zzz)
set(gca,'YDir','normal')
In matlab I need to create a mesh (surf) of a function.
then I need to show the mesh contour lines.
in the end I need to show with arrows the contour lines direction.
I have this so far:
mesh(T); //T is the matrix [150x200] created by the function, this present me the mesh
contour(T);//this present me the contour lines
[px py]=gradient(T);//this for calculate gradient of T (px is[150x200] and also py)
contour(T), hold on, quiver(px,py), hold off //quiver is to make arrows
This work fine, I can see the contour lines but my problem is that the arrows are too crowded and what i'm seeing it not very clear.
I need to diluted px and py but I don't know how.
I don't know if it is something I need to do before the gradient function or after.
I need that px and py will stay on [150x200] and maybe replace some value in them to zero,
Thank you all!
I'd "dilute" the arrow, (px,py) by sampling just a subset of them. For example:
N=25; % or usea different # of points if needed
range1=unique(round(linspace(1,size(T,1),N)));
range2=unique(round(linspace(1,size(T,1),N)));
[rx ry]=meshgrid(range1,range2);
quiver(rx,ry,px(range1,range2),py(range1,range2)); %, hold off
I have a fairly complex plotting problem that i thought it would be interesting to get a solution to. Say i have two plots, number 1:
This plot was created using plotyy.
And number 2:
This plot was created using plot3(x, y, z, '.')
Now, the complex part is i want to take plot number 2, watermark it and put it behind plot number 1. Which would result in something like this:
Effectively what i want to show is that plot 1 is made from data that looks like plot 2. Now i haven't been able to find how to do this so it may not even be possible, but if it can be done then it would be a great tutorial to have on stack overflow!
You can do this but it will take some work to get the axes formatted so they look nice.
What you need to do is put one axes object on top of another axes; however, to prevent the top axes from occluding the bottom one you need to set the 'Color' property of the top axes object to 'none'.
Here is an example script that generates something similar to what you are looking for
f = figure;
axes();
x = rand(100,3)*3 + 3;
plot3(x(:,1), x(:,2), x(:,3),'.');
axes('Color', 'none');
x = -5:5;
y = x.^2;
line(x,y, 'Color', 'r', 'LineWidth', 2);
Here is the resulting figure:
If you don't like how this works out you can try to project your 3D data into 2D and then draw that projection as an image behind your lines. Here is a link to a discussion about how you might go about creating the 2D projection.